{"title":"基于贝叶斯网络的供应链企业协同敏感性分析","authors":"Jian Li, Yang Gao","doi":"10.1109/ICLSIM.2010.5461447","DOIUrl":null,"url":null,"abstract":"At present, the collaborative relationships between enterprises have a significant impact on operating efficiency for the supply chain. Base on Bayesian Network theory, the paper establishes a model of collaborative sensitive index of enterprises in the supply chain by adopting methods of genetic algorithms, and introduces collaborative programs that can improve the efficiency of the entire supply chain, which make related enterprises timely find various problems that need to be addressed, and make the efficiency of work increased.","PeriodicalId":249102,"journal":{"name":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Base on Bayesian Network of supply chain enterprises collaborative sensitivity analysis\",\"authors\":\"Jian Li, Yang Gao\",\"doi\":\"10.1109/ICLSIM.2010.5461447\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"At present, the collaborative relationships between enterprises have a significant impact on operating efficiency for the supply chain. Base on Bayesian Network theory, the paper establishes a model of collaborative sensitive index of enterprises in the supply chain by adopting methods of genetic algorithms, and introduces collaborative programs that can improve the efficiency of the entire supply chain, which make related enterprises timely find various problems that need to be addressed, and make the efficiency of work increased.\",\"PeriodicalId\":249102,\"journal\":{\"name\":\"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICLSIM.2010.5461447\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Logistics Systems and Intelligent Management (ICLSIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICLSIM.2010.5461447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Base on Bayesian Network of supply chain enterprises collaborative sensitivity analysis
At present, the collaborative relationships between enterprises have a significant impact on operating efficiency for the supply chain. Base on Bayesian Network theory, the paper establishes a model of collaborative sensitive index of enterprises in the supply chain by adopting methods of genetic algorithms, and introduces collaborative programs that can improve the efficiency of the entire supply chain, which make related enterprises timely find various problems that need to be addressed, and make the efficiency of work increased.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
